From the series: Implementation
Jon Zeosky and Sebastian Castro discuss how algorithms designed in MATLAB® can be deployed as standalone CUDA® code to target NVIDIA® GPUs, and how this standalone code can be used in a development process involving Robot Operating System (ROS).
In the software demonstration, Jon and Sebastian first use a pretrained neural network in MATLAB to create a deep learning classification algorithm. Then, they use GPU Coder™ to generate a standalone library from this algorithm and deploy it to an NVIDIA Jetson™ platform. Finally, they integrate the generated library into a ROS node developed in C++ to connect with other software nodes running on the network.
Download the example files used in this video from MATLAB Central File Exchange.
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